This paper presents a hybrid camera tracking method using electromagnetic (EM) tracking and image registration and its evaluation on a dynamic motion phantom. We here propose two new schemes to approach the influence of respiratory motion, which intelligently combine absolute pose data from EM tracking with relative motion data combined from EM tracking and image based registration. We construct a dynamic motion phantom for simulating respiratory motion to evaluate the proposed method. The results demonstrate the improvement of image-based registration.     «

This paper presents a hybrid camera tracking method using electromagnetic (EM) tracking and image registration and its evaluation on a dynamic motion phantom. We here propose two new schemes to approach the influence of respiratory motion, which intelligently combine absolute pose data from EM tracking with relative motion data combined from EM tracking and image based registration. We construct a dynamic motion phantom for simulating respiratory motion to evaluate the proposed method. The resul...     »